Databricks releases, every cloud
| Release | Date | ||||
|---|---|---|---|---|---|
| Query-based connectors in Lakeflow Connect will soon be available by default for workspaces with the compliance security profile enabled Coming soon Replaces CDC configuration, supports Oracle, Teradata, and others. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Jul 14, 2026 |
| Behavior changes for continuous jobs and pipelines Coming soon Configures continuous schedule from pipeline page, wrapping pipeline in a continuous job. Replaces pipeline's built-in continuous setting for new pipelines. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Jul 8, 2026 |
| Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon Deletes now retain associated tables by default, set cascade=true to remove them. | On AWS, read it on their docs | On Azure, read it on their docs | On GCP, read it on their docs | Not on SAP | Apr 9, 2026 |
- Query-based connectors in Lakeflow Connect will soon be available by default for workspaces with the compliance security profile enabled Coming soon
Replaces CDC configuration, supports Oracle, Teradata, and others.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Behavior changes for continuous jobs and pipelines Coming soon
Configures continuous schedule from pipeline page, wrapping pipeline in a continuous job. Replaces pipeline's built-in continuous setting for new pipelines.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud) - Upcoming breaking change: default behavior when deleting a Unity Catalog pipeline Coming soon
Deletes now retain associated tables by default, set cascade=true to remove them.
AWS, read it on their docsAzure, read it on their docsGCP, read it on their docsSAP(not on this cloud)
Headlines, dates and product areas are Databricks' own, from the release notes published for each cloud, and every item links to the note it came from. The one-line summaries are ours. Not a Databricks product and not affiliated with Databricks, Inc.